SKILLEMALL.ai

AB workspace-governance

A methodology-first workspace governance skill for AI agents. Focuses on principles, decision framework, and safe execution patterns instead of fixed directory templates. Triggers on "organize", "cleanup", "archive", "workspace check", "整理工作区", "清理文件", "归档项目", "太乱了".

ClawHub Agent Skills author: Mars YANG v1.0.0 MIT-0 25 files · 7 scripts body ≈ 2 482 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process B 69/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

TemplateAI and agentsInfrastructureResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
B
69/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 25. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 69/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 16 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 125 steps
    • 100Failures and branches. 3 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2482 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 19 top-level sections: this looks like several domains in one skill

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -37 of 7 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 267: enough signal without eating the budget
    • +4Structure: 30 headings
    • +3Step-by-step instructions: 125 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This is a disclosed workspace cleanup governance guide with clear safeguards around scanning, moving, deleting, and logging files.
    LLM: benign (high) · VirusTotal: · 29 May 2026